/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License.  You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.rdd.h2o

import org.apache.spark.rdd.RDD
import org.apache.spark.{Partition, TaskContext}

import scala.reflect.ClassTag

class H2OAwareRDD[U: ClassTag](nodes: Seq[String], prev: RDD[U]) extends RDD[U](prev: RDD[U]) {

  override def getPreferredLocations(split: Partition): Seq[String] = nodes

  override def compute(split: Partition, context: TaskContext): Iterator[U] = prev.compute(split, context)

  override protected def getPartitions: Array[Partition] = prev.partitions
}
